SlideShare una empresa de Scribd logo
1 de 30
eSource: Changing the
Monitor / Site / Sponsor
Relationship



Edward S. Seguine
CEO
Clinical Ink
Disclaimer
• The views and opinions expressed in the following PowerPoint
  slides are those of the individual presenter and should not be
  attributed to Drug Information Association, Inc. (“DIA”), its
  directors, officers, employees, volunteers, members, chapters,
  councils, Special Interest Area Communities or affiliates, or any
  organization with which the presenter is employed or affiliated.
• These PowerPoint slides are the intellectual property of the
  individual presenter and are protected under the copyright laws
  of the United States of America and other countries. Used by
  permission. All rights reserved. Drug Information Association,
  Drug Information Association Inc., DIA and DIA logo are
  registered trademarks. All other trademarks are the property of
  their respective owners.

                                 2
Discussion Points
• What is eSource?

• Industry Metrics

• Business Model Implications

Audience Participation REQUIRED
Vote via Texting

  22333




              22333

              176644
Practice Poll




Poll: My primary work role is:
What is eSource?



          Digital Equipment
           (BP Cuff, EKG)
                               IVRS / IWRS

ePRO




           Imaging Data       EMRs ??
FDA “We’re Here To Help”
   Electronic Source Documentation
“This guidance is intended to promote the
capture of source data in electronic form, which
will help to:
– eliminate unnecessary duplication of data,
– reduce transcription errors,
– promote real-time entry of electronic source during
  subject visits,
– ensure accurate/complete data through electronic
  prompts”
FDA Perspective
“For the purpose of this guidance, the terms eSource
  documents and eSource data are used to describe source
  documents and source data for which the original record
  and certified copies are initially captured electronically.”
  (page 6)


“The eCRF is a vehicle used to assemble all the data from
  different electronic- and paper-based systems and makes
  it possible to capture and organize these diverse data in a
  manner that satisfies the study protocol and that enables
  the data to be systematically reviewed and analyzed.”
  (page 6)
FDA “We’re Here To Help”
            Risk-Based Monitoring
“The guidance specifically encourages greater use of
centralized monitoring methods where appropriate…
The extent to which centralized monitoring practices
can be employed will depend to some extent on
accessibility of electronic records.” (page 1, 8)

“Source data verification and other activities
traditionally performed by on-site monitoring can now
often be accomplished remotely.” (page 5)
Poll #1




Poll: How much was spent on Phase 1-3 Clinical...
Poll #1
How much was spent on Phase 1-3
     clinical trials last year?


$40 BILLION
 $1,200,000 for EVERY employee
     involved in clinical trials
Total Clinical Trial Costs
                      5% 4%
             6%

      12%                                         26%




      18%

                                   29%


      Source: Medidata CRO Contractor Fact Sheet; June 2012
Monitoring Spend
             R&D Spend Monitoring

Phase 1             $5.6B                   $1.2B

Phase 2             $8.8B                   $2.7B

Phase 3            $25.4B                   $7.9B

TOTAL             $39.8B                  $11.8B
           Source: 2012 PhRMA Industry Report


          UNSUSTAINABLE!
Clinical Trials Today




# Days   Task                               Category
   0     Record patient data on paper forms SOURCE
2 – 10+ Manually input data into database     EDC
         On-site comparison of Source to
30 – 60+                                    MONITOR
         EDC
Clinical Trials Tomorrow




# Days Task                                       Benefit
   0   Record patient data on electronic forms   No Paper
  0     Automatically record to database         No Errors
  0     Remotely review source docs via web      No Travel
Poll #2




Poll: Direct entry into CRFs meets site GCP re...
Source ≠ CRF
Explicit FDA requirements for Source
 21 CFR 312.62(b) Patient Case History

 Criteria       Source          CRF
  Timing         Original     Secondary

 Workflow      Site/Subject    Sponsor
              GCP/Protocol;    Analysis;
   Data
              Unstructured    Structured
  Owner        Investigator    Sponsor

 Validation      Review         Verify
Source ≠ CRF: PE - eCRF

CDASH Preferred Option A (5.14.1)




                18
Source ≠ CRF: PE – Paper Source




               19
Source ≠ CRF: PE – eSource




            20
CRF ≠ Source: Vitals - eCRF




             21
CRF ≠ Source: Vitals – Paper Source
CRF ≠ Source: Vitals – eSource
Poll #3




Poll: Reviewing CRFs remotely is sufficient to...
Site Responsibility for Source
Inadequate/inaccurate case history is 2ND
  most common site audit finding
“Failure to maintain adequate and accurate case histories that
  record all observations and other data pertinent to the
  investigation” - cited in 60% of investigator warning letters

“What is not documented is not done”
ICH E6 separates source DOCUMENTS from
  source DATA
Impact on Monitoring Plan
Source Data Verification: what data does
  need to be verified for accuracy
Source Document Review: what documents
  should be reviewed for context, trends, etc.
Remote Monitoring: what types of trial data,
  how frequently, with what tools
Changing Source data: where will changes be
  made, by whom, when, where is audit trail
Monitor – Site Communication
Fewer onsite visits, but more frequent and
 relevant site interactions
Data clarified by viewing context of document
Queries - total number and response time are
 reduced
Centralized tools „track‟ monitor activity; what
 % of documents reviewed, how long?
Practical Realities
At what level is data signed? Investigator
  “signs” CRF, do they need to “sign” eSource
eSource design intent versus database;
 difference between “Yes”, “No”, “Null” values
Eliminate duplicate edit checks; if checked at
  source, no need for second check
Not all site employees have email address;
 how to verify identity, grant access
Drawbacks of Targeted SDV
Reliance on EDC data - not Source
No source document review
No benefit to site workflow
Sponsor discretion and risk
Sounds new; but really old
Reliance on process, not technology
Contact Details
      Ed Seguine
   CEO – Clinical Ink
     336-464-0702
eseguine@clinicalink.com




           30

Más contenido relacionado

La actualidad más candente

Evolution in the Role of Patient Participation in Clinical Research
Evolution in the Role of Patient Participation in Clinical ResearchEvolution in the Role of Patient Participation in Clinical Research
Evolution in the Role of Patient Participation in Clinical ResearchCraig Lipset
 
Automating Data Curation with AI and NLP for Biomedical Graph Applications
Automating Data Curation with AI and NLP for Biomedical Graph ApplicationsAutomating Data Curation with AI and NLP for Biomedical Graph Applications
Automating Data Curation with AI and NLP for Biomedical Graph ApplicationsNeo4j
 
Data integrity
Data integrityData integrity
Data integrityKiran Kota
 
AWS Life Sciences
AWS Life SciencesAWS Life Sciences
AWS Life SciencesReece Hart
 
MTIA 2009 - Healthstory Project Overview Dictation To Clinical Data
MTIA 2009 - Healthstory Project Overview   Dictation To Clinical DataMTIA 2009 - Healthstory Project Overview   Dictation To Clinical Data
MTIA 2009 - Healthstory Project Overview Dictation To Clinical DataNick van Terheyden
 
Healthstory - Dictation to Clinical Data: Automating the Production of Struc...
Healthstory - Dictation to Clinical Data: Automating the Production of Struc...Healthstory - Dictation to Clinical Data: Automating the Production of Struc...
Healthstory - Dictation to Clinical Data: Automating the Production of Struc...Nick van Terheyden
 
Edward Asner Resume_Updated 20NOV2016
Edward Asner Resume_Updated 20NOV2016Edward Asner Resume_Updated 20NOV2016
Edward Asner Resume_Updated 20NOV2016Edward Asner
 
Company Profile: 23andMe
Company Profile: 23andMeCompany Profile: 23andMe
Company Profile: 23andMePravin3210
 

La actualidad más candente (8)

Evolution in the Role of Patient Participation in Clinical Research
Evolution in the Role of Patient Participation in Clinical ResearchEvolution in the Role of Patient Participation in Clinical Research
Evolution in the Role of Patient Participation in Clinical Research
 
Automating Data Curation with AI and NLP for Biomedical Graph Applications
Automating Data Curation with AI and NLP for Biomedical Graph ApplicationsAutomating Data Curation with AI and NLP for Biomedical Graph Applications
Automating Data Curation with AI and NLP for Biomedical Graph Applications
 
Data integrity
Data integrityData integrity
Data integrity
 
AWS Life Sciences
AWS Life SciencesAWS Life Sciences
AWS Life Sciences
 
MTIA 2009 - Healthstory Project Overview Dictation To Clinical Data
MTIA 2009 - Healthstory Project Overview   Dictation To Clinical DataMTIA 2009 - Healthstory Project Overview   Dictation To Clinical Data
MTIA 2009 - Healthstory Project Overview Dictation To Clinical Data
 
Healthstory - Dictation to Clinical Data: Automating the Production of Struc...
Healthstory - Dictation to Clinical Data: Automating the Production of Struc...Healthstory - Dictation to Clinical Data: Automating the Production of Struc...
Healthstory - Dictation to Clinical Data: Automating the Production of Struc...
 
Edward Asner Resume_Updated 20NOV2016
Edward Asner Resume_Updated 20NOV2016Edward Asner Resume_Updated 20NOV2016
Edward Asner Resume_Updated 20NOV2016
 
Company Profile: 23andMe
Company Profile: 23andMeCompany Profile: 23andMe
Company Profile: 23andMe
 

Destacado

Overcoming Barriers to Risk-Based Monitoring
Overcoming Barriers to Risk-Based MonitoringOvercoming Barriers to Risk-Based Monitoring
Overcoming Barriers to Risk-Based MonitoringBioclinica
 
Risk Based Monitoring presentation by Triumph Research Intelligence January 2014
Risk Based Monitoring presentation by Triumph Research Intelligence January 2014Risk Based Monitoring presentation by Triumph Research Intelligence January 2014
Risk Based Monitoring presentation by Triumph Research Intelligence January 2014Triumph Consultancy Services
 
Overview QbD Training Package
Overview QbD Training PackageOverview QbD Training Package
Overview QbD Training PackageMichielHertegonne
 
Key Components of Pharmaceutical QbD, an Introduction
Key Components of Pharmaceutical QbD, an IntroductionKey Components of Pharmaceutical QbD, an Introduction
Key Components of Pharmaceutical QbD, an IntroductionSaurabh Arora
 
Centralized vs. Onsite Monitoring
Centralized vs. Onsite MonitoringCentralized vs. Onsite Monitoring
Centralized vs. Onsite MonitoringIMARC Research
 
A CTTI Survey of Current Monitoring Practices
A CTTI Survey of Current Monitoring PracticesA CTTI Survey of Current Monitoring Practices
A CTTI Survey of Current Monitoring PracticesTarget Health, Inc.
 
Risk-based Monitoring Strategies for Improved Clinical Trial Performance
Risk-based Monitoring Strategies for Improved Clinical Trial PerformanceRisk-based Monitoring Strategies for Improved Clinical Trial Performance
Risk-based Monitoring Strategies for Improved Clinical Trial PerformanceCognizant
 
Pharmaceutical Quality by Design: Review of Progress and Challenges
Pharmaceutical Quality by Design: Review of Progress and ChallengesPharmaceutical Quality by Design: Review of Progress and Challenges
Pharmaceutical Quality by Design: Review of Progress and ChallengesAjaz Hussain
 
So you think you know GCP ...
So you think you know GCP ...So you think you know GCP ...
So you think you know GCP ...Paul Below
 
GCP Refresher Training (Chcuk) V2
GCP Refresher Training (Chcuk) V2GCP Refresher Training (Chcuk) V2
GCP Refresher Training (Chcuk) V2Stuart McCully
 
Risk Based Monitoring in Clinical Trials - Impact on Sites
Risk Based Monitoring in Clinical Trials - Impact on SitesRisk Based Monitoring in Clinical Trials - Impact on Sites
Risk Based Monitoring in Clinical Trials - Impact on SitesWool Consuting Group Inc.
 
Quality by design for Pharmaceutical Industries: An introduction
Quality by design for Pharmaceutical Industries: An introductionQuality by design for Pharmaceutical Industries: An introduction
Quality by design for Pharmaceutical Industries: An introductionCovello Luca
 
Audit and Inspection in Clinical Trial
Audit and Inspection in Clinical TrialAudit and Inspection in Clinical Trial
Audit and Inspection in Clinical TrialDR. RANJEET PRASAD
 
A Practical Approach to Implementing ICH Q10 Pharmaceutical Quality Systems
A Practical Approach to Implementing ICH Q10 Pharmaceutical Quality SystemsA Practical Approach to Implementing ICH Q10 Pharmaceutical Quality Systems
A Practical Approach to Implementing ICH Q10 Pharmaceutical Quality Systemswtgevents
 
Corrective and preventive action plan CAPA report form
Corrective and preventive action plan  CAPA report formCorrective and preventive action plan  CAPA report form
Corrective and preventive action plan CAPA report formConnie Dello Buono
 

Destacado (20)

ACRP
ACRPACRP
ACRP
 
Overcoming Barriers to Risk-Based Monitoring
Overcoming Barriers to Risk-Based MonitoringOvercoming Barriers to Risk-Based Monitoring
Overcoming Barriers to Risk-Based Monitoring
 
Risk Based Monitoring presentation by Triumph Research Intelligence January 2014
Risk Based Monitoring presentation by Triumph Research Intelligence January 2014Risk Based Monitoring presentation by Triumph Research Intelligence January 2014
Risk Based Monitoring presentation by Triumph Research Intelligence January 2014
 
Nih gcp training
Nih gcp trainingNih gcp training
Nih gcp training
 
Overview QbD Training Package
Overview QbD Training PackageOverview QbD Training Package
Overview QbD Training Package
 
Key Components of Pharmaceutical QbD, an Introduction
Key Components of Pharmaceutical QbD, an IntroductionKey Components of Pharmaceutical QbD, an Introduction
Key Components of Pharmaceutical QbD, an Introduction
 
Centralized vs. Onsite Monitoring
Centralized vs. Onsite MonitoringCentralized vs. Onsite Monitoring
Centralized vs. Onsite Monitoring
 
A CTTI Survey of Current Monitoring Practices
A CTTI Survey of Current Monitoring PracticesA CTTI Survey of Current Monitoring Practices
A CTTI Survey of Current Monitoring Practices
 
Risk-based Monitoring Strategies for Improved Clinical Trial Performance
Risk-based Monitoring Strategies for Improved Clinical Trial PerformanceRisk-based Monitoring Strategies for Improved Clinical Trial Performance
Risk-based Monitoring Strategies for Improved Clinical Trial Performance
 
CRO - Clinical Vendor Oversight Webinar.
CRO - Clinical Vendor Oversight Webinar.CRO - Clinical Vendor Oversight Webinar.
CRO - Clinical Vendor Oversight Webinar.
 
Pharmaceutical Quality by Design: Review of Progress and Challenges
Pharmaceutical Quality by Design: Review of Progress and ChallengesPharmaceutical Quality by Design: Review of Progress and Challenges
Pharmaceutical Quality by Design: Review of Progress and Challenges
 
So you think you know GCP ...
So you think you know GCP ...So you think you know GCP ...
So you think you know GCP ...
 
GCP Refresher Training (Chcuk) V2
GCP Refresher Training (Chcuk) V2GCP Refresher Training (Chcuk) V2
GCP Refresher Training (Chcuk) V2
 
Risk Based Monitoring in Clinical Trials - Impact on Sites
Risk Based Monitoring in Clinical Trials - Impact on SitesRisk Based Monitoring in Clinical Trials - Impact on Sites
Risk Based Monitoring in Clinical Trials - Impact on Sites
 
Quality by design for Pharmaceutical Industries: An introduction
Quality by design for Pharmaceutical Industries: An introductionQuality by design for Pharmaceutical Industries: An introduction
Quality by design for Pharmaceutical Industries: An introduction
 
Audits & Inspections in Clinical Research
Audits & Inspections in Clinical ResearchAudits & Inspections in Clinical Research
Audits & Inspections in Clinical Research
 
Audit and Inspection in Clinical Trial
Audit and Inspection in Clinical TrialAudit and Inspection in Clinical Trial
Audit and Inspection in Clinical Trial
 
A Practical Approach to Implementing ICH Q10 Pharmaceutical Quality Systems
A Practical Approach to Implementing ICH Q10 Pharmaceutical Quality SystemsA Practical Approach to Implementing ICH Q10 Pharmaceutical Quality Systems
A Practical Approach to Implementing ICH Q10 Pharmaceutical Quality Systems
 
Qc in clinical trials
Qc in clinical trialsQc in clinical trials
Qc in clinical trials
 
Corrective and preventive action plan CAPA report form
Corrective and preventive action plan  CAPA report formCorrective and preventive action plan  CAPA report form
Corrective and preventive action plan CAPA report form
 

Similar a 2012 DIA eSource monitor-site-sponsor relationship

2012 DIA EMRs for clinical research
2012 DIA  EMRs for clinical research2012 DIA  EMRs for clinical research
2012 DIA EMRs for clinical researchEd Seguine
 
A Pharma/CRO Partnership in the Design and Execution of Paperless Clinical Tr...
A Pharma/CRO Partnership in the Design and Execution of Paperless Clinical Tr...A Pharma/CRO Partnership in the Design and Execution of Paperless Clinical Tr...
A Pharma/CRO Partnership in the Design and Execution of Paperless Clinical Tr...Target Health, Inc.
 
Developing Protocols & Procedures for CT Data Integrity
Developing Protocols & Procedures for CT Data Integrity Developing Protocols & Procedures for CT Data Integrity
Developing Protocols & Procedures for CT Data Integrity Bhaswat Chakraborty
 
Impact of Risk-Based Monitoring and eSource Methodologies on Clinical Sites, ...
Impact of Risk-Based Monitoring and eSource Methodologies on Clinical Sites, ...Impact of Risk-Based Monitoring and eSource Methodologies on Clinical Sites, ...
Impact of Risk-Based Monitoring and eSource Methodologies on Clinical Sites, ...Target Health, Inc.
 
Clinical Data Management
Clinical Data ManagementClinical Data Management
Clinical Data ManagementDABBETA DIVYA
 
Who needs fast data? - Journal for Clinical Studies
Who needs fast data? - Journal for Clinical Studies Who needs fast data? - Journal for Clinical Studies
Who needs fast data? - Journal for Clinical Studies KCR
 
Freeing Up Investigators' Time to Engage with Patients
Freeing Up Investigators' Time to Engage with PatientsFreeing Up Investigators' Time to Engage with Patients
Freeing Up Investigators' Time to Engage with PatientsTransPerfect Trial Interactive
 
The Future of Healthcare with Big Data and AI with Ion Stoica and Frank Nothaft
The Future of Healthcare with Big Data and AI with Ion Stoica and Frank NothaftThe Future of Healthcare with Big Data and AI with Ion Stoica and Frank Nothaft
The Future of Healthcare with Big Data and AI with Ion Stoica and Frank NothaftDatabricks
 
PROJECT softwares (28 May 14)
PROJECT softwares (28 May 14)PROJECT softwares (28 May 14)
PROJECT softwares (28 May 14)Preeti Sirohi
 
Clinicaldatamanagementindiaasahub 130313225150-phpapp01
Clinicaldatamanagementindiaasahub 130313225150-phpapp01Clinicaldatamanagementindiaasahub 130313225150-phpapp01
Clinicaldatamanagementindiaasahub 130313225150-phpapp01Upendra Agarwal
 
Best practices for maintaining and storing essential documents in clinical re...
Best practices for maintaining and storing essential documents in clinical re...Best practices for maintaining and storing essential documents in clinical re...
Best practices for maintaining and storing essential documents in clinical re...TrialJoin
 
eSource to eTrial - Integrating Technology and Data to Innovate Clinical Deve...
eSource to eTrial - Integrating Technology and Data to Innovate Clinical Deve...eSource to eTrial - Integrating Technology and Data to Innovate Clinical Deve...
eSource to eTrial - Integrating Technology and Data to Innovate Clinical Deve...Nick Hargaden
 
Leverage Big Data Analytics to Enhance Clinical Trials from Planning to Execu...
Leverage Big Data Analytics to Enhance Clinical Trials from Planning to Execu...Leverage Big Data Analytics to Enhance Clinical Trials from Planning to Execu...
Leverage Big Data Analytics to Enhance Clinical Trials from Planning to Execu...Saama
 
Clinical data collection and management
Clinical data collection and managementClinical data collection and management
Clinical data collection and managementMOHAMMAD ASIM
 
eSource: Data Capture Simplified - Uncover Time and Cost Saving Possibilities
eSource: Data Capture Simplified - Uncover Time and Cost Saving PossibilitieseSource: Data Capture Simplified - Uncover Time and Cost Saving Possibilities
eSource: Data Capture Simplified - Uncover Time and Cost Saving Possibilitieswww.datatrak.com
 
Next Gen Clinical Data Sciences
Next Gen Clinical Data SciencesNext Gen Clinical Data Sciences
Next Gen Clinical Data SciencesSaama
 
T R I A L M O N I T O R I N GQuality Remote Monitoring .docx
T R I A L  M O N I T O R I N GQuality Remote Monitoring .docxT R I A L  M O N I T O R I N GQuality Remote Monitoring .docx
T R I A L M O N I T O R I N GQuality Remote Monitoring .docxssuserf9c51d
 

Similar a 2012 DIA eSource monitor-site-sponsor relationship (20)

2012 DIA EMRs for clinical research
2012 DIA  EMRs for clinical research2012 DIA  EMRs for clinical research
2012 DIA EMRs for clinical research
 
A Pharma/CRO Partnership in the Design and Execution of Paperless Clinical Tr...
A Pharma/CRO Partnership in the Design and Execution of Paperless Clinical Tr...A Pharma/CRO Partnership in the Design and Execution of Paperless Clinical Tr...
A Pharma/CRO Partnership in the Design and Execution of Paperless Clinical Tr...
 
Developing Protocols & Procedures for CT Data Integrity
Developing Protocols & Procedures for CT Data Integrity Developing Protocols & Procedures for CT Data Integrity
Developing Protocols & Procedures for CT Data Integrity
 
PEDSnet DQA CHOP Symposium
PEDSnet DQA CHOP SymposiumPEDSnet DQA CHOP Symposium
PEDSnet DQA CHOP Symposium
 
Impact of Risk-Based Monitoring and eSource Methodologies on Clinical Sites, ...
Impact of Risk-Based Monitoring and eSource Methodologies on Clinical Sites, ...Impact of Risk-Based Monitoring and eSource Methodologies on Clinical Sites, ...
Impact of Risk-Based Monitoring and eSource Methodologies on Clinical Sites, ...
 
Clinical Data Management
Clinical Data ManagementClinical Data Management
Clinical Data Management
 
Who needs fast data? - Journal for Clinical Studies
Who needs fast data? - Journal for Clinical Studies Who needs fast data? - Journal for Clinical Studies
Who needs fast data? - Journal for Clinical Studies
 
Freeing Up Investigators' Time to Engage with Patients
Freeing Up Investigators' Time to Engage with PatientsFreeing Up Investigators' Time to Engage with Patients
Freeing Up Investigators' Time to Engage with Patients
 
The Future of Healthcare with Big Data and AI with Ion Stoica and Frank Nothaft
The Future of Healthcare with Big Data and AI with Ion Stoica and Frank NothaftThe Future of Healthcare with Big Data and AI with Ion Stoica and Frank Nothaft
The Future of Healthcare with Big Data and AI with Ion Stoica and Frank Nothaft
 
PROJECT softwares (28 May 14)
PROJECT softwares (28 May 14)PROJECT softwares (28 May 14)
PROJECT softwares (28 May 14)
 
End User Informatics
End User InformaticsEnd User Informatics
End User Informatics
 
Clinicaldatamanagementindiaasahub 130313225150-phpapp01
Clinicaldatamanagementindiaasahub 130313225150-phpapp01Clinicaldatamanagementindiaasahub 130313225150-phpapp01
Clinicaldatamanagementindiaasahub 130313225150-phpapp01
 
E consent for research: Considerations in Implementation and IRB Review
E consent for research: Considerations in Implementation and IRB ReviewE consent for research: Considerations in Implementation and IRB Review
E consent for research: Considerations in Implementation and IRB Review
 
Best practices for maintaining and storing essential documents in clinical re...
Best practices for maintaining and storing essential documents in clinical re...Best practices for maintaining and storing essential documents in clinical re...
Best practices for maintaining and storing essential documents in clinical re...
 
eSource to eTrial - Integrating Technology and Data to Innovate Clinical Deve...
eSource to eTrial - Integrating Technology and Data to Innovate Clinical Deve...eSource to eTrial - Integrating Technology and Data to Innovate Clinical Deve...
eSource to eTrial - Integrating Technology and Data to Innovate Clinical Deve...
 
Leverage Big Data Analytics to Enhance Clinical Trials from Planning to Execu...
Leverage Big Data Analytics to Enhance Clinical Trials from Planning to Execu...Leverage Big Data Analytics to Enhance Clinical Trials from Planning to Execu...
Leverage Big Data Analytics to Enhance Clinical Trials from Planning to Execu...
 
Clinical data collection and management
Clinical data collection and managementClinical data collection and management
Clinical data collection and management
 
eSource: Data Capture Simplified - Uncover Time and Cost Saving Possibilities
eSource: Data Capture Simplified - Uncover Time and Cost Saving PossibilitieseSource: Data Capture Simplified - Uncover Time and Cost Saving Possibilities
eSource: Data Capture Simplified - Uncover Time and Cost Saving Possibilities
 
Next Gen Clinical Data Sciences
Next Gen Clinical Data SciencesNext Gen Clinical Data Sciences
Next Gen Clinical Data Sciences
 
T R I A L M O N I T O R I N GQuality Remote Monitoring .docx
T R I A L  M O N I T O R I N GQuality Remote Monitoring .docxT R I A L  M O N I T O R I N GQuality Remote Monitoring .docx
T R I A L M O N I T O R I N GQuality Remote Monitoring .docx
 

Último

Digital Transformation in the PLM domain - distrib.pdf
Digital Transformation in the PLM domain - distrib.pdfDigital Transformation in the PLM domain - distrib.pdf
Digital Transformation in the PLM domain - distrib.pdfJos Voskuil
 
Future Of Sample Report 2024 | Redacted Version
Future Of Sample Report 2024 | Redacted VersionFuture Of Sample Report 2024 | Redacted Version
Future Of Sample Report 2024 | Redacted VersionMintel Group
 
MAHA Global and IPR: Do Actions Speak Louder Than Words?
MAHA Global and IPR: Do Actions Speak Louder Than Words?MAHA Global and IPR: Do Actions Speak Louder Than Words?
MAHA Global and IPR: Do Actions Speak Louder Than Words?Olivia Kresic
 
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCRashishs7044
 
8447779800, Low rate Call girls in Shivaji Enclave Delhi NCR
8447779800, Low rate Call girls in Shivaji Enclave Delhi NCR8447779800, Low rate Call girls in Shivaji Enclave Delhi NCR
8447779800, Low rate Call girls in Shivaji Enclave Delhi NCRashishs7044
 
2024 Numerator Consumer Study of Cannabis Usage
2024 Numerator Consumer Study of Cannabis Usage2024 Numerator Consumer Study of Cannabis Usage
2024 Numerator Consumer Study of Cannabis UsageNeil Kimberley
 
8447779800, Low rate Call girls in Tughlakabad Delhi NCR
8447779800, Low rate Call girls in Tughlakabad Delhi NCR8447779800, Low rate Call girls in Tughlakabad Delhi NCR
8447779800, Low rate Call girls in Tughlakabad Delhi NCRashishs7044
 
APRIL2024_UKRAINE_xml_0000000000000 .pdf
APRIL2024_UKRAINE_xml_0000000000000 .pdfAPRIL2024_UKRAINE_xml_0000000000000 .pdf
APRIL2024_UKRAINE_xml_0000000000000 .pdfRbc Rbcua
 
Market Sizes Sample Report - 2024 Edition
Market Sizes Sample Report - 2024 EditionMarket Sizes Sample Report - 2024 Edition
Market Sizes Sample Report - 2024 EditionMintel Group
 
Flow Your Strategy at Flight Levels Day 2024
Flow Your Strategy at Flight Levels Day 2024Flow Your Strategy at Flight Levels Day 2024
Flow Your Strategy at Flight Levels Day 2024Kirill Klimov
 
Buy gmail accounts.pdf Buy Old Gmail Accounts
Buy gmail accounts.pdf Buy Old Gmail AccountsBuy gmail accounts.pdf Buy Old Gmail Accounts
Buy gmail accounts.pdf Buy Old Gmail AccountsBuy Verified Accounts
 
Youth Involvement in an Innovative Coconut Value Chain by Mwalimu Menza
Youth Involvement in an Innovative Coconut Value Chain by Mwalimu MenzaYouth Involvement in an Innovative Coconut Value Chain by Mwalimu Menza
Youth Involvement in an Innovative Coconut Value Chain by Mwalimu Menzaictsugar
 
India Consumer 2024 Redacted Sample Report
India Consumer 2024 Redacted Sample ReportIndia Consumer 2024 Redacted Sample Report
India Consumer 2024 Redacted Sample ReportMintel Group
 
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCRashishs7044
 
Kenya Coconut Production Presentation by Dr. Lalith Perera
Kenya Coconut Production Presentation by Dr. Lalith PereraKenya Coconut Production Presentation by Dr. Lalith Perera
Kenya Coconut Production Presentation by Dr. Lalith Pereraictsugar
 
Pitch Deck Teardown: Geodesic.Life's $500k Pre-seed deck
Pitch Deck Teardown: Geodesic.Life's $500k Pre-seed deckPitch Deck Teardown: Geodesic.Life's $500k Pre-seed deck
Pitch Deck Teardown: Geodesic.Life's $500k Pre-seed deckHajeJanKamps
 
PSCC - Capability Statement Presentation
PSCC - Capability Statement PresentationPSCC - Capability Statement Presentation
PSCC - Capability Statement PresentationAnamaria Contreras
 

Último (20)

Digital Transformation in the PLM domain - distrib.pdf
Digital Transformation in the PLM domain - distrib.pdfDigital Transformation in the PLM domain - distrib.pdf
Digital Transformation in the PLM domain - distrib.pdf
 
Future Of Sample Report 2024 | Redacted Version
Future Of Sample Report 2024 | Redacted VersionFuture Of Sample Report 2024 | Redacted Version
Future Of Sample Report 2024 | Redacted Version
 
MAHA Global and IPR: Do Actions Speak Louder Than Words?
MAHA Global and IPR: Do Actions Speak Louder Than Words?MAHA Global and IPR: Do Actions Speak Louder Than Words?
MAHA Global and IPR: Do Actions Speak Louder Than Words?
 
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR
8447779800, Low rate Call girls in New Ashok Nagar Delhi NCR
 
8447779800, Low rate Call girls in Shivaji Enclave Delhi NCR
8447779800, Low rate Call girls in Shivaji Enclave Delhi NCR8447779800, Low rate Call girls in Shivaji Enclave Delhi NCR
8447779800, Low rate Call girls in Shivaji Enclave Delhi NCR
 
No-1 Call Girls In Goa 93193 VIP 73153 Escort service In North Goa Panaji, Ca...
No-1 Call Girls In Goa 93193 VIP 73153 Escort service In North Goa Panaji, Ca...No-1 Call Girls In Goa 93193 VIP 73153 Escort service In North Goa Panaji, Ca...
No-1 Call Girls In Goa 93193 VIP 73153 Escort service In North Goa Panaji, Ca...
 
2024 Numerator Consumer Study of Cannabis Usage
2024 Numerator Consumer Study of Cannabis Usage2024 Numerator Consumer Study of Cannabis Usage
2024 Numerator Consumer Study of Cannabis Usage
 
8447779800, Low rate Call girls in Tughlakabad Delhi NCR
8447779800, Low rate Call girls in Tughlakabad Delhi NCR8447779800, Low rate Call girls in Tughlakabad Delhi NCR
8447779800, Low rate Call girls in Tughlakabad Delhi NCR
 
APRIL2024_UKRAINE_xml_0000000000000 .pdf
APRIL2024_UKRAINE_xml_0000000000000 .pdfAPRIL2024_UKRAINE_xml_0000000000000 .pdf
APRIL2024_UKRAINE_xml_0000000000000 .pdf
 
Market Sizes Sample Report - 2024 Edition
Market Sizes Sample Report - 2024 EditionMarket Sizes Sample Report - 2024 Edition
Market Sizes Sample Report - 2024 Edition
 
Flow Your Strategy at Flight Levels Day 2024
Flow Your Strategy at Flight Levels Day 2024Flow Your Strategy at Flight Levels Day 2024
Flow Your Strategy at Flight Levels Day 2024
 
Buy gmail accounts.pdf Buy Old Gmail Accounts
Buy gmail accounts.pdf Buy Old Gmail AccountsBuy gmail accounts.pdf Buy Old Gmail Accounts
Buy gmail accounts.pdf Buy Old Gmail Accounts
 
Youth Involvement in an Innovative Coconut Value Chain by Mwalimu Menza
Youth Involvement in an Innovative Coconut Value Chain by Mwalimu MenzaYouth Involvement in an Innovative Coconut Value Chain by Mwalimu Menza
Youth Involvement in an Innovative Coconut Value Chain by Mwalimu Menza
 
Corporate Profile 47Billion Information Technology
Corporate Profile 47Billion Information TechnologyCorporate Profile 47Billion Information Technology
Corporate Profile 47Billion Information Technology
 
India Consumer 2024 Redacted Sample Report
India Consumer 2024 Redacted Sample ReportIndia Consumer 2024 Redacted Sample Report
India Consumer 2024 Redacted Sample Report
 
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
 
Kenya Coconut Production Presentation by Dr. Lalith Perera
Kenya Coconut Production Presentation by Dr. Lalith PereraKenya Coconut Production Presentation by Dr. Lalith Perera
Kenya Coconut Production Presentation by Dr. Lalith Perera
 
Pitch Deck Teardown: Geodesic.Life's $500k Pre-seed deck
Pitch Deck Teardown: Geodesic.Life's $500k Pre-seed deckPitch Deck Teardown: Geodesic.Life's $500k Pre-seed deck
Pitch Deck Teardown: Geodesic.Life's $500k Pre-seed deck
 
Call Us ➥9319373153▻Call Girls In North Goa
Call Us ➥9319373153▻Call Girls In North GoaCall Us ➥9319373153▻Call Girls In North Goa
Call Us ➥9319373153▻Call Girls In North Goa
 
PSCC - Capability Statement Presentation
PSCC - Capability Statement PresentationPSCC - Capability Statement Presentation
PSCC - Capability Statement Presentation
 

2012 DIA eSource monitor-site-sponsor relationship

  • 1. eSource: Changing the Monitor / Site / Sponsor Relationship Edward S. Seguine CEO Clinical Ink
  • 2. Disclaimer • The views and opinions expressed in the following PowerPoint slides are those of the individual presenter and should not be attributed to Drug Information Association, Inc. (“DIA”), its directors, officers, employees, volunteers, members, chapters, councils, Special Interest Area Communities or affiliates, or any organization with which the presenter is employed or affiliated. • These PowerPoint slides are the intellectual property of the individual presenter and are protected under the copyright laws of the United States of America and other countries. Used by permission. All rights reserved. Drug Information Association, Drug Information Association Inc., DIA and DIA logo are registered trademarks. All other trademarks are the property of their respective owners. 2
  • 3. Discussion Points • What is eSource? • Industry Metrics • Business Model Implications Audience Participation REQUIRED
  • 4. Vote via Texting 22333 22333 176644
  • 5. Practice Poll Poll: My primary work role is:
  • 6. What is eSource? Digital Equipment (BP Cuff, EKG) IVRS / IWRS ePRO Imaging Data EMRs ??
  • 7. FDA “We’re Here To Help” Electronic Source Documentation “This guidance is intended to promote the capture of source data in electronic form, which will help to: – eliminate unnecessary duplication of data, – reduce transcription errors, – promote real-time entry of electronic source during subject visits, – ensure accurate/complete data through electronic prompts”
  • 8. FDA Perspective “For the purpose of this guidance, the terms eSource documents and eSource data are used to describe source documents and source data for which the original record and certified copies are initially captured electronically.” (page 6) “The eCRF is a vehicle used to assemble all the data from different electronic- and paper-based systems and makes it possible to capture and organize these diverse data in a manner that satisfies the study protocol and that enables the data to be systematically reviewed and analyzed.” (page 6)
  • 9. FDA “We’re Here To Help” Risk-Based Monitoring “The guidance specifically encourages greater use of centralized monitoring methods where appropriate… The extent to which centralized monitoring practices can be employed will depend to some extent on accessibility of electronic records.” (page 1, 8) “Source data verification and other activities traditionally performed by on-site monitoring can now often be accomplished remotely.” (page 5)
  • 10. Poll #1 Poll: How much was spent on Phase 1-3 Clinical...
  • 11. Poll #1 How much was spent on Phase 1-3 clinical trials last year? $40 BILLION $1,200,000 for EVERY employee involved in clinical trials
  • 12. Total Clinical Trial Costs 5% 4% 6% 12% 26% 18% 29% Source: Medidata CRO Contractor Fact Sheet; June 2012
  • 13. Monitoring Spend R&D Spend Monitoring Phase 1 $5.6B $1.2B Phase 2 $8.8B $2.7B Phase 3 $25.4B $7.9B TOTAL $39.8B $11.8B Source: 2012 PhRMA Industry Report UNSUSTAINABLE!
  • 14. Clinical Trials Today # Days Task Category 0 Record patient data on paper forms SOURCE 2 – 10+ Manually input data into database EDC On-site comparison of Source to 30 – 60+ MONITOR EDC
  • 15. Clinical Trials Tomorrow # Days Task Benefit 0 Record patient data on electronic forms No Paper 0 Automatically record to database No Errors 0 Remotely review source docs via web No Travel
  • 16. Poll #2 Poll: Direct entry into CRFs meets site GCP re...
  • 17. Source ≠ CRF Explicit FDA requirements for Source 21 CFR 312.62(b) Patient Case History Criteria Source CRF Timing Original Secondary Workflow Site/Subject Sponsor GCP/Protocol; Analysis; Data Unstructured Structured Owner Investigator Sponsor Validation Review Verify
  • 18. Source ≠ CRF: PE - eCRF CDASH Preferred Option A (5.14.1) 18
  • 19. Source ≠ CRF: PE – Paper Source 19
  • 20. Source ≠ CRF: PE – eSource 20
  • 21. CRF ≠ Source: Vitals - eCRF 21
  • 22. CRF ≠ Source: Vitals – Paper Source
  • 23. CRF ≠ Source: Vitals – eSource
  • 24. Poll #3 Poll: Reviewing CRFs remotely is sufficient to...
  • 25. Site Responsibility for Source Inadequate/inaccurate case history is 2ND most common site audit finding “Failure to maintain adequate and accurate case histories that record all observations and other data pertinent to the investigation” - cited in 60% of investigator warning letters “What is not documented is not done” ICH E6 separates source DOCUMENTS from source DATA
  • 26. Impact on Monitoring Plan Source Data Verification: what data does need to be verified for accuracy Source Document Review: what documents should be reviewed for context, trends, etc. Remote Monitoring: what types of trial data, how frequently, with what tools Changing Source data: where will changes be made, by whom, when, where is audit trail
  • 27. Monitor – Site Communication Fewer onsite visits, but more frequent and relevant site interactions Data clarified by viewing context of document Queries - total number and response time are reduced Centralized tools „track‟ monitor activity; what % of documents reviewed, how long?
  • 28. Practical Realities At what level is data signed? Investigator “signs” CRF, do they need to “sign” eSource eSource design intent versus database; difference between “Yes”, “No”, “Null” values Eliminate duplicate edit checks; if checked at source, no need for second check Not all site employees have email address; how to verify identity, grant access
  • 29. Drawbacks of Targeted SDV Reliance on EDC data - not Source No source document review No benefit to site workflow Sponsor discretion and risk Sounds new; but really old Reliance on process, not technology
  • 30. Contact Details Ed Seguine CEO – Clinical Ink 336-464-0702 eseguine@clinicalink.com 30

Notas del editor

  1. Poll: My primary work role is:\r\n\r\nPress F5 or enter presentation mode to view the poll\r\nIn an emergency during your presentation, if the poll isn't showing, navigate to this link in your web browser:\r\nhttp://www.polleverywhere.com/multiple_choice_polls/LTE0NDk2MDkzNDAIf you like, you can use this slide as a template for your own voting slides. You might use a slide like this if you feel your audience would benefit from the picture showing a text message on a phone.
  2. Poll: How much was spent on Phase 1-3 Clinical...\r\n\r\nPress F5 or enter presentation mode to view the poll\r\nIn an emergency during your presentation, if the poll isn't showing, navigate to this link in your web browser:\r\nhttp://www.polleverywhere.com/multiple_choice_polls/LTcwNjY5MTAIf you like, you can use this slide as a template for your own voting slides. You might use a slide like this if you feel your audience would benefit from the picture showing a text message on a phone.
  3. Press F5 or enter presentation mode to view the poll\r\nIn an emergency during your presentation, if the poll isn't showing, navigate to this link in your web browser:\r\nhttp://www.polleverywhere.com/multiple_choice_polls/LTcwNjY5MTAIf you like, you can use this slide as a template for your own voting slides. You might use a slide like this if you feel your audience would benefit from the picture showing a text message on a phone.
  4. Poll: Direct entry into CRFs meets site GCP re...\r\n\r\nPress F5 or enter presentation mode to view the poll\r\nIn an emergency during your presentation, if the poll isn't showing, navigate to this link in your web browser:\r\nhttp://www.polleverywhere.com/multiple_choice_polls/LTE2Mjg3MjAwNjIIf you like, you can use this slide as a template for your own voting slides. You might use a slide like this if you feel your audience would benefit from the picture showing a text message on a phone.
  5. Poll: Reviewing CRFs remotely is sufficient to...\r\n\r\nPress F5 or enter presentation mode to view the poll\r\nIn an emergency during your presentation, if the poll isn't showing, navigate to this link in your web browser:\r\nhttp://www.polleverywhere.com/multiple_choice_polls/LTEwNTkzMDg2If you like, you can use this slide as a template for your own voting slides. You might use a slide like this if you feel your audience would benefit from the picture showing a text message on a phone.